QoS-driven pricing policy for cognitive radio networks

Abstract

Recently, a large amount of spectrum and bandwidth are demanded by mobile network operators (MNOs) in order to obtain the high data rates quality of service (QoS). For optimal spectrum utilization for better efficiency, MNO should handle unused spectrums through a convenient spectrum management. Significantly, MNOs should trade-off among the proposed QoS, service pricing and secondary users’ (SUs) satisfaction. In this study, adaptive spectrum management based on the requesting SUs’ (RSUs) QoS requirement is proposed in cognitive radio network (CRN). QoS-driven pricing policy is developed so that MNO charges RSUs fairly while improving spectrum utilization and network revenue (NR) efficiency in the long term. Simulation results illustrate the RSUs charging strategy based on dynamic switch system in off-peak and peak hours.

Keywords

• Cognitive Radio Networks
• Spectrum Management
• Pricing Policy